Introduction to Big Data Databases: Graph Databases
Duration: One Day Course
Prerequisite: Knowledge of Databases, Hadoop, NoSQL and SQL.
We live in a connected world. What used to be six degrees of separation is now pervasive human connectivity. Add to that the Internet of Things. Our homes, refrigerators, cars, garages, heating and cooling systems, computers and other devices are all connected, too. The ability to manage your grocery shopping with active looking inside what you have at home or having devices tell you the longevity of the food at home prior to shopping are all mesmerizing. In the world of crime, we apply similar analogies to events and behaviors which have led to clues about situations that could not be otherwise solved.
How do we get this done? In simple math terms, we connect all the relevant data and form a graph that plots along the connections to the storyboard. This graph theory has driven the formation of a new set of databases called the graph database. In this session, we will discuss the principles of graph theory, the graph database, and how it can be applied to the enterprise. Attend this discussion and learn the new and exciting ways you can innovate.
You Will Learn
- What a graph database is
- The graph DB installation process
- How to query for Nodes and Relationships
- How to create, update, and delete data
- How Null works in a graph DB
- How to work with paths in a graph DB
- Neo4J Graph Database